Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
2022 review of data-driven plasma science
Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …
review article highlights the latest development and progress in the interdisciplinary field of …
Driver identification based on vehicle telematics data using LSTM-recurrent neural network
Despite advancements in vehicle security systems, over the last decade, auto-theft rates
have increased, and cyber-security attacks on internet-connected and autonomous vehicles …
have increased, and cyber-security attacks on internet-connected and autonomous vehicles …
[PDF][PDF] Understanding the relationship between interactions and outcomes in human-in-the-loop machine learning
Human-in-the-loop Machine Learning (HIL-ML) is a widely adopted paradigm for instilling
human knowledge in autonomous agents. Many design choices influence the efficiency and …
human knowledge in autonomous agents. Many design choices influence the efficiency and …
Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion
D Rengasamy, BC Rothwell, GP Figueredo - Applied Sciences, 2021 - mdpi.com
When machine learning supports decision-making in safety-critical systems, it is important to
verify and understand the reasons why a particular output is produced. Although feature …
verify and understand the reasons why a particular output is produced. Although feature …
[HTML][HTML] Effect of measurement error in wet chemistry soil data on the calibration and model performance of pedotransfer functions
Soil properties that are considered difficult to measure are frequently determined through
pedotransfer functions (PTFs). Calibration and validation datasets, containing …
pedotransfer functions (PTFs). Calibration and validation datasets, containing …
Application of Healthcare Management Technologies for COVID-19 Pandemic Using Internet of Things and Machine Learning Algorithms
Abstract Internet of Things (IoT) has acquired persuading research ground as another
examination subject under big assortment regards scholarly and modern disciplines …
examination subject under big assortment regards scholarly and modern disciplines …
Convolutional neural network–bagged decision tree: a hybrid approach to reduce electric vehicle's driver's range anxiety by estimating energy consumption in real …
To overcome range anxiety problem of electric vehicles (EVs), an accurate real-time energy
consumption estimation is necessary, which can be used to provide the EV's driver with …
consumption estimation is necessary, which can be used to provide the EV's driver with …
Prediction and identification of physical systems by means of physically-guided neural networks with meaningful internal layers
J Ayensa-Jimenez, MH Doweidar… - Computer Methods in …, 2021 - Elsevier
Substitution of well-grounded theoretical models by data-driven predictions is not as simple
in engineering and sciences as it is in social and economic fields. Scientific problems suffer …
in engineering and sciences as it is in social and economic fields. Scientific problems suffer …
Application of noise-reduction techniques to machine learning algorithms for breast cancer tumor identification
A Ahuja, L Al-Zogbi, A Krieger - Computers in Biology and Medicine, 2021 - Elsevier
The application of machine learning (ML) techniques to digitized images of biopsied cells for
breast cancer diagnosis is an active area of research. We hypothesized that reducing noise …
breast cancer diagnosis is an active area of research. We hypothesized that reducing noise …